Novel FEM-Based Simulation-Inserted Optimization Algorithm Using Improved Complex Newton’s Method for EM Design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Simulation-inserted optimization (SIO) technology, a novel electromagnetic (EM) optimization technology, uses real-equivalent calculation to solve complex finite element equations. However, the application of the existing SIO method with incremental matrix memory is severely limited to EM optimization problems of smaller dimensionalities. Thus, this letter proposes an improved complex Newton’s simulation-inserted optimization (CNSIO) method for EM design. In the proposed CNSIO algorithm, new formulations based on complex domains are derived to reduce the dimension size of the finite element method (FEM) system matrix and the sensitivity matrices. The proposed CNSIO algorithm enables a faster optimization and requires less memory than that using the basic version of the SIO algorithm. The novel CNSIO algorithm is verified through two applications of EM-based microwave components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it